Jieping Huang1, Ruihua Dang1, Daisuke Torigoe2, Chuzhao Lei1, Xianyong Lan1, Hong Chen1, Nobuya Sasaki3, Jinxi Wang2, Takashi Agui2. 1. College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China. 2. Laboratory of Laboratory Animal Science and Medicine, Department of Disease Control, Graduate School of Veterinary Medicine, Hokkaido University, Hokkaido, Japan. 3. Laboratory of Laboratory Animal Science and Medicine, School of Veterinary Medicine, Kitasato University, Aomori, Japan.
Abstract
Hirschsprung's disease (HSCR) is a congenital disease in neonates characterized by the absence of the enteric ganglia in a variable length of the distal colon. This disease results from multiple genetic interactions that modulate the ability of enteric neural crest cells to populate developing gut. We previously reported that three rat strains with different backgrounds (susceptible AGH-Ednrbsl/sl, resistant F344-Ednrbsl/sl, and LEH-Ednrbsl/sl) but the same null mutation of Ednrb show varying severity degrees of aganglionosis. This finding suggests that strain-specific genetic factors affect the severity of HSCR. Consistent with this finding, a quantitative trait locus (QTL) for the severity of HSCR on chromosome (Chr) 2 was identified using an F2 intercross between AGH and F344 strains. In the present study, we performed QTL analysis using an F2 intercross between the susceptible AGH and resistant LEH strains to identify the modifier/resistant loci for HSCR in Ednrb-deficient rats. A significant locus affecting the severity of HSCR was also detected within the Chr 2 region. These findings strongly suggest that a modifier gene of aganglionosis exists on Chr 2. In addition, two potentially causative SNPs (or mutations) were detected upstream of a known HSCR susceptibility gene, Gdnf. These SNPs were possibly responsible for the varied length of gut affected by aganglionosis.
Hirschsprung's disease (HSCR) is a congenital disease in neonates characterized by the absence of the enteric ganglia in a variable length of the distal colon. This disease results from multiple genetic interactions that modulate the ability of enteric neural crest cells to populate developing gut. We previously reported that three rat strains with different backgrounds (susceptible AGH-Ednrbsl/sl, resistant F344-Ednrbsl/sl, and LEH-Ednrbsl/sl) but the same null mutation of Ednrb show varying severity degrees of aganglionosis. This finding suggests that strain-specific genetic factors affect the severity of HSCR. Consistent with this finding, a quantitative trait locus (QTL) for the severity of HSCR on chromosome (Chr) 2 was identified using an F2 intercross between AGH and F344 strains. In the present study, we performed QTL analysis using an F2 intercross between the susceptible AGH and resistant LEH strains to identify the modifier/resistant loci for HSCR in Ednrb-deficient rats. A significant locus affecting the severity of HSCR was also detected within the Chr 2 region. These findings strongly suggest that a modifier gene of aganglionosis exists on Chr 2. In addition, two potentially causative SNPs (or mutations) were detected upstream of a known HSCR susceptibility gene, Gdnf. These SNPs were possibly responsible for the varied length of gut affected by aganglionosis.
Hirschsprung’s disease (HSCR) or aganglionic megacolon is a neonatal intestinal obstruction syndrome characterized by the absence of the enteric ganglia along a variable length of the hindgut; this disease results in the loss of normal intestinal motility, the failure to pass meconium, and the massive distention of the intestine [1]. HSCR is classified into three types on the basis of the length of the affected segment: short-segment (80%), long-segment (15%), and total colonic aganglionosis (5%) [2]. This congenital disease occurs in 1 out of 5000 infants and is common among Asians [3]. Most HSCR cases are associated with mutations in the RET proto-oncogene, endothelin receptor B (EDNRB) gene, and glial cell line-derived neurotrophic factor (GDNF) gene [4]. Genes implicated in HSCR include SOX10 [5, 6], NRTN [7], ECE [8], ZFHXIB [9], PHOX2B [10], KIAA1279 [11], and TCF4 [8]. However, only 20% of HSCR cases are attributed to mutations in these genes; therefore, other susceptible genes possibly exist [12]. HSCR commonly shows variable phenotypes and penetrance by familial, gender incidence, associated diseases, and aganglionosis severity. However, even familial cases characterized by the same mutation between individual family members show a large discrepancy in penetrance and the length of the influenced gut [13]. These lines of evidence imply that multiple genetic interactions modulate the development of enteric ganglia derived from neural crest cells and thus affect the final phenotype of HSCR. The current data indicate that interactions between RET and EDNRB [14, 15], EDNRB and SOX10 [16, 17], and RET and SOX10 [18] modulate neural crest cells during early embryonic development.Completely homozygous deficient mutations in EDNRB result in the severe aganglionosis phenotype of HSCR in mice [19, 20]. Spotting lethal (sl) is a spontaneous null mutation with a 301 bp deletion in the ratEdnrb that leads to the dysfunction of the corresponding protein [21]. In our previous study, we established three rat strains that carry the sl mutation: AGH-Ednrb
, LEH-Ednrb
, and F344-Ednrb
[22]. Aganglionosis in all pups of AGH-Ednrbrats extends beyond the cecum, whereas that in pups of LEH-Ednrbrats is confined to the middle colon. F344-Ednrbrats display minimal (i.e., very short segment near the anus is affected) or no aganglionosis. These lines of evidence suggest that modifier genes within the genetic backgrounds of these strains significantly modulate the severity of aganglionosis. We also previously identified a significant quantitative trait locus (QTL) on chromosome (Chr) 2 using an F2 intercross of AGH-Ednrb
and F344-Ednrb
+/ rats [23]. Thus, we hypothesized that different genetic backgrounds contain different modifiers that interact with primary mutation. We believe that these modifiers influence the development of the enteric nervous system and the variable penetrance and severity of HSCR. The present study explores the variation of aganglionosis between AGH-Ednrb
and LEH-Ednrb
strains to identify modifiers that may interact with the sl mutation of the Ednrb gene and influence aganglionosis in a variable length of the distal gastrointestinal tract.
Results
Evaluation of the aganglionosis phenotype in F2 intercross
The homozygous sl mutation of Ednrb in rats results in the aganglionosis phenotype. We previously found that introgression of the null mutation into the LEH strain modifies the phenotype of aganglionosis [22]. AGH-Ednrbrats show unnatural dilation of the intestines at 14 d postnatal because of the absence of ganglion cells in the gut, starting from the anus and extending to the cecum. Compared with AGH-Ednrbrats, LEH-Ednrb
pups at 14 d postnatal show much shorter length of enlarged intestines. The variation in the expressivity of HSCR between AGH and LEH strains results from the length of aganglionosis, as identified using whole-mount acetylcholinesterse (AChE) staining [22]. F2 (AGH × LEH) Ednrb
progenies with different phenotypes were established by heterozygotes. Homozygous Ednrb
animals (n = 149) were selected from F2 intercross on the basis of coat color [22]. The extent of the absence of ganglion cells in the gut of Ednrbrats was assessed using microscopic examination with AChE staining. Then, the length of the gut exhibiting aganglionosis was divided by the total length of the large intestine. This ratio was used as a quantitative trait index for the QTL analysis of aganglionosis severity.The range of aganglionosis extent in AGH, LEH, F1, and F2 rats is presented in a scatter plot (Fig. 1A). The ratios of AGH-Ednrb
and LEH-Ednrbrats fall on one of the two extreme values. Those of F1 progenies (0.8 in the mean ratio of aganglionosis) are distributed between the mean ratios of AGH (2.78 in the ratio of aganglionosis) and LEH (0.449 in the ratio of aganglionosis). The ratios among the F2 intercross are fairly scattered from the maximum to the minimum with the mean ratio of 0.846.
Fig 1
Range of aganglionosis extent.
(A) Range of aganglionosis extent in 14-day-old pups from AGH-Ednrb
, LEH-Ednrb
, F1, and F2. Mean values are indicated by horizontal lines. (B) Distribution of the severity of aganglionosis in male and female progenies of the F2 generation. The Y-axis represents the ratio of the length of the aganglionic gut to the length of the large intestine used to evaluate the severity of aganglionosis.
Range of aganglionosis extent.
(A) Range of aganglionosis extent in 14-day-old pups from AGH-Ednrb
, LEH-Ednrb
, F1, and F2. Mean values are indicated by horizontal lines. (B) Distribution of the severity of aganglionosis in male and female progenies of the F2 generation. The Y-axis represents the ratio of the length of the aganglionic gut to the length of the large intestine used to evaluate the severity of aganglionosis.In Fig. 1B, individual traits of the male and female F2 intercross are arranged in accordance with the ratio of aganglionosis extent. The distribution of trait values in both males and females is consistent with the idea that the variation in aganglionosis in this population is a polygenic trait. In addition, the results showed no gender bias.
QTL analysis for modifiers of aganglionosis severity in the F2 intercross of Ednrb
QTL analysis was carried in the F2 intercross. The threshold likelihood ratio statistics (LRS) for mapping was generated by MapManager QTXb20 software. In this analysis, the threshold values of suggestive, significant, and highly significant linkages were 9.6, 17.1, and 23, respectively, as calculated by 1000 times permutation tests (Fig. 2). A QTL significantly associated with aganglionosis was detected in the region around D2Mgh14 on Chr 2 with the maximum LRS score of 25.0 (Fig. 3), which accounted for 15% of the total variance (Table 1). This result implies that the locus at the D2Mgh14 (62 Mbp, RGSC Genome Assembly v5.0) position has a significant linkage to the severity of aganglionosis (LRS > 23).
Fig 2
Interval mapping scans by MapManager QTXb20 in F2 intercross.
Linkage analyses of aganglionosis severity in F2 intercross were performed using MapManager QTXb20 software. Recombination frequencies (%) were converted into genetic distance (centiMorgan; cM) using the Kosambi map function. Linkage data are provided as likelihood ratio statistic (LRS) scores. Genome-wide significance thresholds were calculated in terms of LRS by 1000 times permutation tests. The thresholds for suggestive (Su, LRS = 9.6), significant (Si, LRS = 17.1), and highly significant (Hi, LRS = 23) linkages are indicated in dotted, thin, and thick lines, respectively, as calculated by 1000 times permutation tests, respectively.
Fig 3
Details of suggestive and significant linkages in QTL analysis of the severity of aganglionosis.
The QTL on chromosome 2 showed a significant linkage to aganglionosis severity, respectively. The dotted, thin, and thick lines represent Su, Si, and Hi thresholds, calculated by 1000 times permutation tests, respectively. The microsatellite markers used for determining genotypes of F2 intercross are presented along the X-axis. The gray bars on the graph indicate approximately 95% confidence intervals.
Table 1
Quantitative trait loci with LRS scores (> 4.0) detected by marker regression analysis.
Chr
Locus
LRS
Contribution (%)
P value
CI
Additive effect
Chr 2
D2Rat252
14.5
9
0.00072
38
0.30
Chr 2
D2Rat116
16.0
10
0.00033
35
0.36
Chr 2
D2Mgh14
25.0
15
0.00000
23
0.43
Chr 2
D2Rat201
20.4
13
0.00004
28
0.40
Chr 2
D2Mit33
18.0
11
0.00012
31
0.40
Chr 2
D2Rat385
18.8
12
0.00008
30
0.41
Chr 2
D2Mit5
14.5
9
0.00073
38
0.36
Chr 2
D2Rat21
8.9
6
0.01165
61
0.29
Chr 3
D3Rat57
11.9
8
0.00260
46
‒0.24
Chr 3
D3Mgh7
7.0
5
0.03068
78
‒0.17
Chr 3
D3Rat78
12.3
8
0.00209
45
0.24
Chr 7
D7Rat31
12.4
8
0.00200
44
0.33
Chr 7
D7Got23
12.7
8
0.00176
44
0.34
Chr 7
D7Rat131
8.3
5
0.01548
65
‒0.17
Chr 10
D10Mit2
8.0
5
0.01833
68
0.15
Chr 10
D10Rat154
14.0
9
0.00091
40
0.18
Chr 18
D18Got63
12.8
8
0.00162
43
0.07
Chr, chromosome; CI, confidence interval.
Interval mapping scans by MapManager QTXb20 in F2 intercross.
Linkage analyses of aganglionosis severity in F2 intercross were performed using MapManager QTXb20 software. Recombination frequencies (%) were converted into genetic distance (centiMorgan; cM) using the Kosambi map function. Linkage data are provided as likelihood ratio statistic (LRS) scores. Genome-wide significance thresholds were calculated in terms of LRS by 1000 times permutation tests. The thresholds for suggestive (Su, LRS = 9.6), significant (Si, LRS = 17.1), and highly significant (Hi, LRS = 23) linkages are indicated in dotted, thin, and thick lines, respectively, as calculated by 1000 times permutation tests, respectively.
Details of suggestive and significant linkages in QTL analysis of the severity of aganglionosis.
The QTL on chromosome 2 showed a significant linkage to aganglionosis severity, respectively. The dotted, thin, and thick lines represent Su, Si, and Hi thresholds, calculated by 1000 times permutation tests, respectively. The microsatellite markers used for determining genotypes of F2 intercross are presented along the X-axis. The gray bars on the graph indicate approximately 95% confidence intervals.Chr, chromosome; CI, confidence interval.
Identification of candidate genes in Chr 2
We performed a bioinformatics search combining PosMed search using NCBI (http://www.ncbi.nlm.nih.gov/probe) and PosMed (https://database.riken.jp/PosMed/) to identify biologically relevant genes from the identified QTL [24]. We used the positions (from 23 Mbp to 75 Mbp, RGSC Genome Assembly v3.4) of the markers (D2Rat252 and D2Rat21), between which is the confidence interval (95% confidence level), to define the boundaries of this interval on the rat genome assembly. The keywords “aganglionosis,” “intestine,” and “neural crest cell” were used to search for genes on the rat genome. Then, the candidate genes were narrowed on the basis of their known functions and expression as listed in the PosMed database and related literature. Gdnf, Ptger4, and Slc45a2 were identified as highly relevant candidates (Table 2). Gdnf, a well-known gene associated with Hirschsprung disease, plays an important role in the development of the enteric nervous system. Ptger4, which is related to colitis and hearing loss, is also expressed in intestine tissue [25, 26]. Disorder of cochlear cells, in which melanocytes are derived from neural crest cells, can cause hearing loss. Slc45a2 is involved in developmental pigmentation and associated with oculocutaneous albinism [27]. The abnormal development of melanocytes drives albinism; hence, we consider Slc45a2 as a candidate gene on the basis of its involvement with other aspects of neural crest development.
Table 2
List of candidate genes for the QTL associated with aganglionosis.
Gene symbol
Gene description
Mbp
Ptger4
Prostaglandin E receptor 4
73.9
Gdnf
Glial cell derived neurotrophic factor
76.9
Slc45a2
Solute carrier family 45, member 2
83.7
Polymorphism analysis of candidate genes
We sequenced the coding regions and part of the non-coding regions of these three candidate genes. Then, we detected potentially causative genes that result in the phenotype difference between AGH and LEH strains. The RET ligand Gdnf is a known causative gene of HSCR and possibly interacts with Ednrb, the gene that modifies the aganglionosis phenotype [36]. Thus, we completely analyzed Gdnf. Two single-base mutations in the promoter region and seven mutations in the intron of Gdnf were found (Table 3). We evaluated the effects of Gdnf on the severity of aganglionosis through PCR-RFLP-based genotyping and correlation analysis with the ratio of the severity of aganglionosis. Considering the limited distance of these mutations, we selected g.76897291C > T in this procedure. As shown in Fig. 4A, AGH, LEH, and LL homozygotes were labeled as AA, LL, and AL, respectively. The AA genotype cannot be recognized by the restriction enzyme Sty I and showed one band (595 bp). The LL genotype can be completely divided into two bands (186 and 409 bp). The AL genotype showed three bands as expected. The results of correlation analysis revealed a significant difference between LL and AL, and a highly significant difference between AA and AL (Fig. 4B). This result indicates that this locus is closely related to the severity of aganglionosis.
Table 3
List of mutations in Gdnf, Ptger4, and Slc45a2.
Genes
Location
Sequence ofF344/LEH/AGH
Description
Gdnf
g.76896910, promoterg
C/C/T
Single-base transition in AGH
g.76897291, promoter
C/C/T
Single-base transition in AGH
g.76901040-76901042, intron 1
TTA/TTA/---
Deletion in AGH
g.76901607, intron 1
G/G/A
Dingle-base transition in AGH
g.76901863, intron 1
-/G/-
Insertion in LEH
g.76918403-76918405, intron 2
AAG/AAG/---
Deletion in AGH
g.76919183, intron 2
C/C/T
Single-base transition in AGH
g.76919529, intron 2
G/A/G
Single-base transition in LEH
g.76919749, intron 2
C/C/T
Single-base transition in AGH
Ptger4
g.73986958, promoter
G/G/A
Single-base transition in AGH
g.73985633, exon 1
T/T/C
Synonymous mutation in AGH
Slc45a2
g.83718133, promoter
G/G/A
Single-base transition in AGH
g.83718063, promoter
G/G/A
Single-base transition in AGH
g.83717975, promoter
A/A/-
Deletion in AGH
g.83717367, exon 1
A/A/T
Amino acid substitution in AGH
g.83717275, exon 1
C/C/T
Synonymous substitution in AGH
g.83715441, exon 2
G/G/A
Synonymous substitution in AGH
Fig 4
Correlation analysis of the g.76897291C > T mutation in GDNF.
(A) Genotype groups are defined as AGH/AGH (AA), AGH/LEH (AL), and LEH/LEH (LL). AA genotype showed one band (595 bp); LL genotype showed two bands (409 and 186 bp); AL genotype showed three bands (595, 409, and 186 bp). (B) Effect of each genotype on the severity of aganglionosis. Genotyping data for the total F2 intercross obtained from Sty I were used to assess the effects of individual loci on the severity of HSCR. The mean aganglionosis severity (aganglionosis length/large intestine length) is plotted for each genotype class to show the relation of the number of AGH or LEH genotypes and the extent of aganglionosis for this locus.
Correlation analysis of the g.76897291C > T mutation in GDNF.
(A) Genotype groups are defined as AGH/AGH (AA), AGH/LEH (AL), and LEH/LEH (LL). AA genotype showed one band (595 bp); LL genotype showed two bands (409 and 186 bp); AL genotype showed three bands (595, 409, and 186 bp). (B) Effect of each genotype on the severity of aganglionosis. Genotyping data for the total F2 intercross obtained from Sty I were used to assess the effects of individual loci on the severity of HSCR. The mean aganglionosis severity (aganglionosis length/large intestine length) is plotted for each genotype class to show the relation of the number of AGH or LEH genotypes and the extent of aganglionosis for this locus.We also identified the mutation g.83717367 A > T in exon 1 of Slc45a2. This mutation results in a Thr32-to-Ser (T32S) substitution, which may alter the function of the corresponding protein and further affect the phenotype. Other mutations detected in Slc45a2 and Ptger4 are shown in Table 3.
Discussion
HSCR is a multigenic disorder whose genetics is highly complex and shows unconformity with Mendel’s law. The variable phenotype and incomplete penetrance of HSCR suggest the involvement of modifier genes. Many studies focused on the interactions between known HSCR-associated genes that significantly influence the incidence and severity of intestinal aganglionosis. Genetic interactions of HSCR were first reported in a human study on the genetically isolated Mennonite population, and results suggest that RET and EDNRB interact to cause HSCR [14]. Subsequent studies found interactions between PAX3 and RET [18], PHOX2B and RET [28], SOX10 and ZFBX1B [29], SOX10 and EDN3 or EDNRB [30], and RET and NRG1 [31]. Interfamilial variation and incomplete penetrance are commonly observed in HSCR. This observation strongly suggests that modifier genes are involved in the formation of intestinal aganglionosis. Modifier loci or modifier genes acting as protectors can affect the disease to some extent but cannot completely eliminate it [32]. Only a few modifier genes have been detected for HSCR to date. Clinical studies on human suggested that the X-linked gene L1CAM may be a modifier gene for RET [33]. L1cam can also modify the function of Sox10 in mice [34] and Edn3/Ednrb [35] during the development of the enteric nervous system. A genome-wide scan in mice suggested that multiple modifier intervals are correlated with the severity of aganglionosis in Sox10 (Dom) mice and provided additional evidence of the multi-genic effects that contribute to aganglionic megacolon [36].Genetic background modulates the severity of aganglionosis in animals [3, 22]. In our previous study, we established three rat strains carrying Ednrb mutations: AGH-Ednrb
, LEH-Ednrb
, and F344-Ednrb
. AGH-Ednrbrats showed the most severe aganglionosis, followed by LEH-Ednrbrats, and then F344-Ednrbrats. We also detected a QTL on Chr 2 using an F2 intercross between AGH and F344 strains. Considering the varying severity degrees of aganglionosis among these three strains, we hypothesized that different strains contain different modifier(s) that influence the length of the affected gut. Therefore, we used the same method to explore the modifier(s) associated with the severity of aganglionosis using another F2 intercross between AGH and LEH strains. Interestingly, a QTL significantly associated with aganglionosis was detected in the Chr 2 region, and this QTL overlapped with the previously identified QTL [23]. This result suggests that this region contains a modifier that is related to HSCR. In our previous research, we found no mutations in the exons of the candidate gene Gdnf between the AGH and F344 strains [23]. Data from mouse studies showed that Gdnf is essential for the development of enteric neurons during embryogenesis [37, 38]. In the present study, we found two single-base mutations in the promoter region and seven mutations in the intron through direct sequencing, seven of which were common between AGH and F344 as well as between AGH and LEH (Table 3). The one within the promoter region may be included in the binding site of the transcription factor MNF, which refers to human data [39]. This mutation may change the expression level of Gdnf to modify the severity of aganglionosis. To evaluate the association of this mutation with the severity of aganglionosis, we performed a correlation analysis by genotyping the SNP of Gdnf. As expected, a high correlation was found between this mutation and the aganglionosis phenotype. This finding suggests that the mutation in the promoter may modify the severity of aganglionosis to some extent. However, other biological technologies, such as luciferase reporter assays and transgenic animals, should be employed for verification. Considering that Gdnf owns a multiple promoter system [39], we cannot exclude the possibility that other mutations in introns influence the expression of Gdnf. We compared known HSCR genes in humans and mice with candidate genes in the intervals of the modifiers mapped (S1 Table). Our results showed that Gdnf and EDNRB possibly interact to modify HSCR on the basis of the known interactions between the Gdnf/Ret and Et3/Ednrb signaling pathways [14]. However, further tests and studies need to be conducted for verification. Moreover, an unknown gene within this region possibly interacts with Ednrb to modify the length of the influenced gut.We also identified that an A-to-T transition in exon 1 of Slc45a2 results in a Thr32-to-Ser (T32S) substitution in the corresponding protein. Solute carrier family 45, member 2 (Slc45a2), known as membrane-associated transporter protein (MATP) or melanoma antigen AIM1, contains seven exons spanning a region of approximately 40 kbp. Many studies suggested that Slc45a2 is related to oculocutaneous albinism type IV [40-42]. Du and Fisher [43] determined that Slc45a2 is transcriptionally modulated by the melanocyte-specific transcription factor MITF. However, no reports have analyzed the relation of the enteric nervous system or HSCR to Slc45a2. In the present study, we investigated the effects of the mutations on the protein structure (amino acid substitution). Predictions obtained from Polyphen-2 (Score = 0,658) showed that the mutations can damage the human ortholog. Therefore, Slc45a2 possibly affects the development of melanophores and enteric nervous system cells. Further research is needed to test this hypothesis and assess the effects of other mutations in Slc45a2 and Ptger4.
Materials and Methods
Animals
Aganglionosis rats have a spontaneous Ednrb
mutation. More than 20 generations have passed to establish the AGH inbred line carrying the Ednrb
mutation. This mutation was crossed into another strain (Long–Evans) with a different genetic background for more than 10 generations to build the LEH-Ednrb
(LEH) strain. Heterozygous AGH-Ednrb
(n = 2) and LEH-Ednrb
(n = 8) rats were bred to generate F1 animals, and then heterozygous male (n = 5) and female (n = 20) F1 progenies were used to produce F2 intercross (n = 592). A total of 149 Ednrb
progenies were selected on the basis of skin pigmentation patterns.That is, homozygous F2 mutant rats (sl) had almost no pigmentation on their heads compared with other genotypes of rats previously described [23]. To examine whether or not the method is correct, 215 F2 progenies (Ednrb
, n = 50; Ednrb
, n = 108; Ednrb
, n = 5 7) were genotyped by the PCR method with special primers (F-CCTCCTGGACTAGAGGTTCC and R-ACGACTTAGAAAGCTACACT), flanking the site of the 301 bp deletion. PCR products were electrophoresed in 1.5% agarose gels to distinguish the wild (511 bp) and mutated (210 bp) alleles. The genotyping results were consistent with the coat color method and showed that homozygous F2 mutant rats (sl) can be selected from F2 progenies on the basis of skin pigmentation. AGH (n = 35), LEH (n = 34), and F1 (n = 32) were raised to determine the severity of aganglionosis in each strain. The animals were maintained in specific pathogen-free conditions with feeding and drinking allowed ad libitum. The rats were maintained in a room under the following conditions: 22 ± 4°C temperature, 40%–60% relative humidity, and 12 h light–dark cycle. The rats were sacrificed by CO2 inhalation.
Ethical Statement
All research and experimental protocols were approved by the Regulation for the Care and Use of Laboratory Animals, Hokkaido University (approval ID: No. 110226) and performed under the guidance of the Institute for Laboratory Animal Research (ILAR). All animals were housed in a facility approved by the American Association for Accreditation of Laboratory Animal Care International.
Genotype analysis
A total of 149 F2 intercross of Ednrb
was selected for the genome-wide scan. Genomic DNA was extracted from tail clips using a standard phenol/chloroform method. All DNA samples were diluted to a standard concentration of 20 ng/μL. Ninety-two polymorphic microsatellite markers (Table 4) spanning 20 autosomes were genotyped across these intercross progenies. The map positions of the microsatellite markers were based on information from the Rat Genome Informatics (http://www.ncbi.nlm.nih.gov/probe, RGSC Genome Assembly v3.4). PCR of these polymorphic microsatellite markers was performed at 95°C for 5 min (one cycle), followed by 35 cycles of denaturation at 95°C for 30 s, primer annealing at 55°C for 30 s, and extension at 72°C for 30 s. All amplicons were electrophoresed in 10% acrylamide gels, stained with ethidium bromide (5 × 10−9 μg/mL) for 8 min, and then photographed under an ultraviolet lamp.
Table 4
Microsatellite markers used for genotyping the F2 intercross of Ednrb
.
Microsatellite Marker
Position(Mbp)
Microsatellite Marker
Position(Mbp)
Microsatellite Marker
Position(Mbp)
Microsatellite Marker
Position(Mbp)
D1Rat392
21.6
D4Rat183
187
D9Rat153
107
D14Rat94
88
D1Rat343
98
D4Rat204
243
D10Mgh27
1.6
D15Rat5
25
D1Rat269
133
D5Rat125
22
D10Rat217
17
D15Rat6
37
D1Rat159
218
D5Rat196
107
D10Rat177
29
D15Rat48
66
D1Got225
255
D5Rat44
162
D10Got60
40
D16Rat78
21
D2Rat252
42
D6Got15
30
D10Rat163
50
D16Rat3
44
D2Rat116
52
D6Got74
71
D10Mit2
65
D16Got63
69
D2Mgh14
62
D6Rat165
103
D10Rat154
75
D16Rat55
78
D2Rat201
69
D6Rat11
124
D10Rat7
104
D17Rat2
68
D2Mit33
73
D7Rat31
32
D11Got45
67
D17Rat12
29
D2Rat385
79
D7Got23
36
D11Rat63
72
D17Rat24
50
D2Mit5
86
D7Got36
47
D11Rat43
90
D17Rat175
87
D2Rat21
95
D7Rat73
61
D12Rat58
0.5
D18Rat132
26
D2Rat123
132
D7Rat143
105
D12Rat76
34
D18Rat34
48
D2Got114
191
D7Rat131
115
D12Rat14
34
D18Got63
68
D2Rat241
243
D8Rat68
21
D12Rat86
45
D18Rat86
66
D3Rat57
8
D8Rat33
79
D13Rat150
20.8
D19Rat15
27
D3Mgh7
45
D8Rat18
99
D13Rat149
50
D19Rat27
30
D3Rat34
89
D8Rat8
121
D13Rat180
67
D19Got53
62
D3Rat287
111
D9Got6
4
D13Rat131
88
D20Mit4
34
D3Rat78
159
D9Rat41
14
D14Got35
29
D20Rat55
46
D4Mgh16
61
D9Got27
20
D14Mit4
44
D20Got47
52
D4Rat26
135
D9Mit3
63
D14Rat45
88
For SNP genotyping, PCR-RFLP analysis was performed with the restriction enzyme Sty I (recognition sequence: …5′-C↓CWWGG-3′…). Specific primers (F: 5′-CGTGGTGTCTCGTTCGGA-3′; R: 5′-CCGCTTGCCTTCCTACTT-3′) were designed for PCR, the product length of which was 595 bp. Digestion reaction was performed following the manufacturer’s recommended protocol. The digested products were detected using 1.5% agarose gels.
AChE staining
The guts from the proximal esophagus to the end of the colon were dissected as a single piece for rats at 14 d postnatal. Attachments were removed before the guts were processed using AChE whole-mount staining [16]. The enteric ganglia were visualized under a microscope to determine the extent of the affected gut by aganglionosis. The lengths of the aganglionic gut and the large intestine (from the cecum to the anus) were measured. The ratio of these two lengths was calculated to indicate the severity of aganglionosis.
Linkage analysis
Genotyping data combining the ratio of aganglionosis extent were analyzed by Map Manager QTXb20 software. This software uses a maximum likelihood algorithm with “interval mapping” and “simultaneous search,” and permits efficient localization of loci. Recombination frequencies (%) were converted into genetic distance (cM) using the Kosambi map function. This program provides linkage data as an LRS score. Genome-wide significance thresholds were calculated in terms of LRS by carrying out 1000 permutations based on the established guidelines. The thresholds in the intercross progenies were determined by QTL software for finding suggestive, significant, and highly significant linkages.
SNP screening for candidate genes
The coding regions and part of the non-coding regions of the candidate genes Gdnf, Ptger4, and Slc45a2 were amplified on the basis of the reference sequence (NC_005101.3) by using the genomic DNA of AGH and LEHrats. Primers (S2 Table) were designed using Primer Premier 5.0 software. PCR products were directly sequenced by an ABI PRIZM 377 DNA sequencer (Perkin-Elmer). DNA sequences were analyzed using the DNASTAR 5.0 package (DNAstar, Madison, Wis., USA).
Statistical analysis
To evaluate the effect of the mutation found in the upstream region on the severity of aganglionosis, the mean values for data sets were compared by one-way ANOVA followed by post-hoc test.
Interactions between known HSCR associated genes and their modifiers.
Authors: Melissa A Parisi; Raj P Kapur; Ian Neilson; Robert M W Hofstra; Lynda W Holloway; Ron C Michaelis; Kathleen A Leppig Journal: Am J Med Genet Date: 2002-02-15
Authors: Andrew S McCallion; Erine Stames; Ronald A Conlon; Aravinda Chakravarti Journal: Proc Natl Acad Sci U S A Date: 2003-02-06 Impact factor: 11.205
Authors: Minerva M Carrasquillo; Andrew S McCallion; Erik G Puffenberger; Carl S Kashuk; Nassim Nouri; Aravinda Chakravarti Journal: Nat Genet Date: 2002-09-23 Impact factor: 38.330
Authors: Paige A Winkler; Kara R Gornik; David T Ramsey; Richard R Dubielzig; Patrick J Venta; Simon M Petersen-Jones; Joshua T Bartoe Journal: PLoS One Date: 2014-03-19 Impact factor: 3.240